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CIMCA
2008
IEEE
16 years 2 months ago
Adaption of Courses and Learning Environment to the User Context in dotLRN
The explosive growth of Internet during the last years has been reflected in the ever-increasing amount of the diversity and heterogeneity of user preferences, types and features ...
David Huerva, Jeimy Velez, Silvia Baldiris, Ram&oa...
BIBM
2007
IEEE
16 years 1 months ago
A Semi-supervised Learning Approach to Disease Gene Prediction
Discovering human disease-causing genes (disease genes in short) is one of the most challenging problems in bioinformatics and biomedicine, as most diseases are related in some wa...
Thanh Phuong Nguyen, Tu Bao Ho
ICB
2007
Springer
308views Biometrics» more  ICB 2007»
16 years 1 months ago
Learning Multi-scale Block Local Binary Patterns for Face Recognition
Abstract. In this paper, we propose a novel representation, called Multiscale Block Local Binary Pattern (MB-LBP), and apply it to face recognition. The Local Binary Pattern (LBP) ...
ShengCai Liao, XiangXin Zhu, Zhen Lei, Lun Zhang, ...
ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
16 years 1 months ago
Adaptive Blocking: Learning to Scale Up Record Linkage
Many information integration tasks require computing similarity between pairs of objects. Pairwise similarity computations are particularly important in record linkage systems, as...
Mikhail Bilenko, Beena Kamath, Raymond J. Mooney
ICSE
2005
IEEE-ACM
16 years 1 months ago
Observations and lessons learned from automated testing
This report addresses some of our observations made in a dozen of projects in the area of software testing, and more specifically, in automated testing. It documents, analyzes and...
Stefan Berner, Roland Weber, Rudolf K. Keller